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Association between Pre-Existing Sleep Disorders and Survival Rates of Patients with Breast Cancer

SIMPLE SUMMARY: This is the first study to estimate the effects of pre-existing sleep disorders on the survival outcomes of patients with breast cancer after receiving standard treatments. We conducted a head-to-head propensity score matching study to mimic a randomized trial to compare the survival...

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Detalles Bibliográficos
Autores principales: Chen, Yen-Chang, Chen, Wan-Ming, Chiang, Ming-Feng, Shia, Ben-Chang, Wu, Szu-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834375/
https://www.ncbi.nlm.nih.gov/pubmed/35159065
http://dx.doi.org/10.3390/cancers14030798
Descripción
Sumario:SIMPLE SUMMARY: This is the first study to estimate the effects of pre-existing sleep disorders on the survival outcomes of patients with breast cancer after receiving standard treatments. We conducted a head-to-head propensity score matching study to mimic a randomized trial to compare the survival rates of women with both sleep disorders and breast cancer. Women with pre-existing sleep disorders receiving curative treatments for breast cancer had poorer survival outcomes than those without sleep disorders. Therefore, patients should be screened and evaluated for pre-existing sleep disorders prior to breast surgery, with such disorders serving as survival predictors in patients with breast cancer. Future studies may investigate the survival benefits of pharmacological and behavioral treatments for sleep problems in patients with breast cancer. ABSTRACT: PURPOSE: To investigate the effects of pre-existing sleep disorders on the survival outcomes of women receiving standard treatments for breast invasive ductal carcinoma (IDC). METHODS: We recruited patients from the Taiwan Cancer Registry Database who had received surgery for clinical stage I–III breast IDC. The Cox proportional hazards model was used to analyze all-cause mortality. We categorized the patients into those with and without sleep disorders (Groups 1 and 2, respectively) through propensity score matching. RESULTS: In the multivariate Cox regression analysis, the adjusted hazard ratio for all-cause mortality for Group 1 compared with Group 2 was 1.51 (95% confidence interval: 1.19, 1.91; p < 0.001). CONCLUSION: Our study demonstrated that the sleep disorder group had poorer survival rates than the non-sleep disorder group in breast cancer. Therefore, patients should be screened and evaluated for pre-existing sleep disorders prior to breast surgery, with such disorders serving as a predictor of survival in patients with breast cancer. Future studies may investigate the survival benefits of pharmacological and behavioral treatments for sleep problems in patients with breast cancer.